Requirements for the development of GIS-based group decision-support systems
Journal of the American Society for Information Science - Special issue: spatial information
Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Data mining: concepts and techniques
Data mining: concepts and techniques
Database Issues in Geographic Information Systems
Database Issues in Geographic Information Systems
Spatial SQL: A Query and Presentation Language
IEEE Transactions on Knowledge and Data Engineering
Discovery-Driven Exploration of OLAP Data Cubes
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Selective Materialization: An Efficient Method for Spatial Data Cube Construction
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Extending a DBMS with Spatial Operations
SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
Spatial Data Mining: A Database Approach
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
Efficient Polygon Amalgamation Methods for Spatial OLAP and Spatial Data Mining
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Information Resources Management Journal
Measuring interestingness of discovered skewed patterns in data cubes
Decision Support Systems
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The purpose of this paper is to describe the design and implementation of a Web-based geographic information system GIS for providing online crash information and statistical information for commercial vehicle crashes. The system is capable of displaying crash data such as specific geographic location, period and time of crashes, severity, contributing factors, and cost. The system supports interagency communication with the purpose of reducing the number of crashes. Through the description of the design and implementation of the system, we demonstrate the feasibility of addressing spatial problems in a collaborative OLAP environment. It provides a guide for the design and development of similar systems and identifies a series or related, but yet unsolved, research problems.